Distinguished Architect, IT, Data and AI Integration

Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground‑breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in cutting‑edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient‑focused mission by developing and enhancing technological solutions.

We’re a leading enterprise organization at the forefront of innovation, managing complex data landscapes across multiple business units. As we continue to evolve our data strategy, we’re seeking a Distinguished Architect, Data and AI Integration to serve as a key technical advisor and collaborator across our Data & Analytics and AI Integration organization. This role is pivotal in driving architectural excellence, eliminating redundancies in our tooling ecosystem, and modernizing our data processes to support scalable, efficient operations.

If you thrive in horizontal collaboration, have a knack for spotting and resolving bottlenecks, and are passionate about building reusable frameworks that align with emerging business needs, this is an opportunity to make a significant impact in a patient‑focused dynamic environment.

• Partner closely with leadership to shape and execute enterprise‑wide data architecture strategies, focusing on streamlining redundant BI, ETL, and data tools while promoting modernization and integration across platforms.
• Lead the design and deployment of scalable data ecosystems, including ETL processes, data lakes, and AI‑driven integrations, ensuring they are secure, performant, and adaptable to future needs.
• Develop proof‑of‑concepts for AI‑enhanced reporting, chatbots, and automation, integrating them into business‑critical processes to drive decision‑making and operational agility.
• Stay ahead of industry trends in data architecture, AI/ML operations (MLOps), cloud services, and enterprise tools, proactively recommending and piloting solutions to address upcoming challenges in analytics and AI integration.
• Identify architectural bottlenecks in current systems, design innovative solutions to resolve them, and implement reusable frameworks that enhance data pipelines, governance, and overall efficiency.
• Collaborate horizontally with functional leads across engineering, IT, and business teams to align data initiatives with organizational goals, fostering a culture of shared best practices and cross‑platform interoperability.
• Oversee data migrations, metadata‑driven frameworks, and automation efforts to optimize workflows, reduce costs, and improve data reliability and accessibility.
• Champion IT governance and agile methodologies, guiding teams both in and outside of IT in adopting best in class data tools set forth as standards by our Enterprise Data & Analytics organization.
• Develop, institute, and maintain the IT design methodology, development process methodology, technology standards, and best practices.
• Compile or design enterprise and reference architectural models of current and proposed systems across the enterprise for use internally and in conjunction with external technology partners.
• Provide training, coaching and knowledge transfer to team members on new and emerging technologies.
• Provide oversight to ensure compliance with architectural standards and practices through all aspects of planning, execution, and operation.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field;
• 12+ years of progressive experience in enterprise, data, and/or software architecture, with a strong emphasis on data architecture, ETL frameworks, and integrations in large‑scale environments.
• 3 years of solid performance in an architect role working with cross‑functional teams (within IT and/or within the business) on enterprise‑level or complex / novel system implementations.
• 3 years of relevant industry experience (e.g., medical device, pharmaceuticals, etc.) or in highly regulated…